rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

2.3k 695 -1/wk

GitHub

algorithmic-trading backtesting-trading-strategies feature-engineering feature-selection high-frequency-trading investment limit-order-book machine-learning market-maker market-making market-microstructure model-selection

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Star & Fork Trend (17 data points)

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Forks

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GitHub

stars 2.3k

forks 695

Growth Velocity

rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy has -1 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	SGX-Full-OrderBook-Tick-Data-Trading-Strategy	Awesome-Rust-MachineLearning	Best_AI_paper_2020	Simd
Stars	2.3k	2.2k	2.2k	2.2k
Forks	695	123	239	451
Weekly Growth	-1	+0	+0	+0
Language	Jupyter Notebook	JavaScript	N/A	C++
Sources	1	1	1	1
License	N/A	MIT	MIT	MIT

Capability Radar vs Awesome-Rust-MachineLearning

SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Awesome-Rust-MachineLearning

Maintenance Activity 0

Last code push 1320 days ago.

Community Engagement 100

Fork-to-star ratio: 30.9%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.